Work

A 12-Lead ECG signal correlation analysis in multiple domains

Year: 2024

Type: article

Abstract: This paper is devoted to correlation analysis of 12-lead electrocardiogram (ECG) signals, crucial for understanding cardiac function from multiple leads. Accurate synchronization via QRS detection facilitates the comparison of signals in time and discrete orthogonal transformation (DOT) domains. However, noise, muscle interference, and other signal distortions challenge QRS detection accuracy. We propose an enhanced method for Pan-Tomkin's detector, based on the statistical parameters of multi-lead ECG, to adjust QRS detections. This ensures a uniform number of QRS detections across all leads, resulting in synchronized correlation analysis. Correlation analysis, conducted on the Lobachewsky University ECG database, is evaluated in the time and sparse domains of discrete cosine transform and discrete wavelet transform. The study aims to reveal lead relationships in multiple domains, and their sparsity which can pave the way for usage of compression techniques.

Source: Measurement Sensors

DOI: 10.1016/j.measen.2024.101417

Authors: Antonia Juskova, Ondrej Kovac, Jozef Kromka, Jan Saliga

Institution: Technical University of Košice

Language: English

Topic: ECG Monitoring and Analysis

Subfield: Cardiology and Cardiovascular Medicine

Field: Medicine

Domain: Health Sciences

Open Access status: gold

Estimated APC paid: $1,800

Funder: Vedecká Grantová Agentúra MŠVVaŠ SR a SAV